Alternatives and similar repositories for cs224w

Users that are interested in cs224w are comparing it to the libraries listed below

• LFhase / Learning_CS224w
  My approach to CS224w [AT] Stanford 2019 : )
  ☆122Updated 4 years ago
• chaitjo / gated-graph-transformers
  Transformers are Graph Neural Networks!
  ☆54Updated 4 years ago
• chaitjo / knowledge-graphs
  Building Knowledge Graphs from Unstructured Text
  ☆26Updated 5 years ago
• dglai / dgl_winter_school
  ☆32Updated 4 years ago
• dsaidgovsg / multimodal-learning-hands-on-tutorial
  ☆101Updated 3 years ago
• Ankur3107 / nlp_notebooks
  Tensorflow, Pytorch, Huggingface Transformer, Fastai, etc. tutorial Colab Notebooks.
  ☆76Updated 2 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆92Updated 2 years ago
• BatsResearch / zsl-kg
  Framework for zero-shot learning with knowledge graphs.
  ☆114Updated 2 years ago
• hugochan / PFoodReq
  Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food …
  ☆63Updated 4 years ago
• sunfanyunn / CS224w
  ☆11Updated 2 years ago
• dlg4nlp / dlg4nlp.github.io
  This website is to host a series of tutorials on Deep Learning on Graphs for Natural Language Processing.
  ☆13Updated 3 years ago
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆64Updated 4 years ago
• pmernyei / wiki-cs-dataset
  Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
  ☆61Updated 3 years ago
• abhilash1910 / ClusterTransformer
  Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…
  ☆43Updated 4 years ago
• hibayesian / awesome-graph-learning-papers
  A curated list of graph learning papers, articles, tutorials, slides and projects
  ☆30Updated 5 years ago
• LARS-research / AutoML-Tutorial
  Tutorials about AutoML
  ☆87Updated 3 years ago
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 3 years ago
• guillaume-be / Financial-Causality-Extraction
  Fincausal 2020 shared task
  ☆20Updated 4 years ago
• bvanaken / visbert
  VisBERT: Demo web app for "How Does BERT Answer Questions?"
  ☆11Updated 2 years ago
• Wang-Shuo / SIGIR2020Challenge
  The 1st place solution for SIGIR 2020 E-Commerce Workshop Multimodal Product Classification Challenge
  ☆21Updated 5 years ago
• DeepGraphLearning / GNN-QE
  Official implementation of Graph Neural Network Query Executor (ICML 2022)
  ☆89Updated 2 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• LARS-research / AutoSF
  Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022
  ☆69Updated last year
• jinhongjung / tutorial-on-link-analysis
  Hands-on tutorial about link analysis techniques
  ☆39Updated 4 years ago
• Swiggy / Moo-GBT
  Library for Multi-objective optimization in Gradient Boosted Trees
  ☆76Updated last year
• amazon-science / hyperbolic-embeddings
  Code for hyperboloid embeddings for knowledge graph entities
  ☆37Updated 4 months ago
• claws-lab / petgen
  A PyTorch implementation of the ACM SIGKDD 2021 paper titled "PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-base…
  ☆17Updated last year
• tanfiona / CauseEffectDetection
  Our paper is titled "NUS-IDS at FinCausal 2021: Dependency Tree in Graph Neural Networks for better Cause-Effect Span Detection".
  ☆13Updated 3 years ago
• hbchen-one / Transformer-Models-from-Scratch
  implementing various transformer models for various tasks
  ☆66Updated 3 years ago
• Diego999 / HotelRec
  Large-Scale (~50M) Hotel Reviews Dataset
  ☆70Updated last month